Austejap's starred repositories
ydata-synthetic
Synthetic data generators for tabular and time-series data
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
awesome-leading-and-managing
Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Hands-On-Data-Science-and-Python-Machine-Learning
Hands-On Data Science and Python Machine Learning, published by Packt
Machine-Learning-For-Finance
Machine Learning for finance and investment introduction
kaggle-telstra
My code for Telstra Network Disruptions Kaggle competition
advanced-shiny
🤹 Shiny tips & tricks for improving your apps and solving common problems
Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.